H Sakamoto
- Molecular Biology
- Reproductive Medicine top 5%
- Cellular and Molecular Neuroscience
- Oncology
- Pharmacology
- Co-authors
- Frederick NaftolinTatsuo YamamotoNeil J. MacLuskyKimihiko SatohLuis Miguel García‐SeguraMarya ShanabroughMitsuhiro KawataAtsushi Shimada
- Topics
- Estrogen and related hormone effects (7 papers)Manufacturing Process and Optimization (3 papers)Stress Responses and Cortisol (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
H Sakamoto
36 papers receiving 535 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 179
- Reproductive Medicine 113
- Cellular and Molecular Neuroscience 88
- Oncology 75
- Pharmacology 69
Countries citing papers authored by H Sakamoto
This map shows the geographic impact of H Sakamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by H Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Sakamoto more than expected).
Fields of papers citing papers by H Sakamoto
This network shows the impact of papers produced by H Sakamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by H Sakamoto. The network helps show where H Sakamoto may publish in the future.
Co-authorship network of co-authors of H Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of H Sakamoto. A scholar is included among the top collaborators of H Sakamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H Sakamoto. H Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Development for Sound Quality Optimisation by Taguchi Methods | 2 |
| 3 | Development of Software for Calculation of Best Condition Using Taguchi Methods and Its Evaluation | 1 |
| 4 | Development of perfectly design system using Taguchi methods | 1 |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 19 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | Hericium erinaceum菌糸体由来の神経成長因子(NGF)生合成刺激剤,エリナシンE,F及びG | 72 |
| 14 | [Establishment of metastatic sub-clone from estrogen independent Ishikawa cells and its characterization in vitro and in vivo]. | 6 |
| 15 | 4 | |
| 16 | [Stimulatory effects of follicular stimulating hormone on the proliferation of ovarian cancer cell line in vitro and in vivo]. | 10 |
| 17 | 74 | |
| 18 | 29 | |
| 19 | Study of oxytocin receptor activities in human myometrial preparation | 2 |
| 20 | Influence of chemical treatment on descendants in silkworm. | 1 |
About H Sakamoto
H Sakamoto is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 548 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Manufacturing Process and Optimization (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Behavioral Neuroscience (51 citations), Reproductive Medicine (113 citations) and Endocrine and Autonomic Systems (48 citations). H Sakamoto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Frederick Naftolin, Tatsuo Yamamoto, Neil J. MacLusky, Kimihiko Satoh, Luis Miguel García‐Segura, Marya Shanabrough, Mitsuhiro Kawata, Atsushi Shimada, Hirokazu Kawagishi and Hiroyuki Mori. Their work appears in journals such as Brain Research, Endocrinology and Journal of Neurochemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.